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Impact of integrated multimodal traveler information on auto commuter's mode switching propensity

Impact of integrated multimodal traveler information on auto commuter's mode switching propensity

Memon, AA, Meng, Meng ORCID: 0000-0001-7240-6454, Wong, YD and Lam, SH (2017) Impact of integrated multimodal traveler information on auto commuter's mode switching propensity. The Open Transportation Journal, 11 (1). pp. 20-30. ISSN 1874-4478 (doi:https://doi.org/10.2174/1874447801711010020)

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Abstract

Aim:
Real-time traveler information affects auto commuter’s travel behavior.

Method:
An ordered probit model is used to analyze auto commuter’s mode switching propensity under influence of simulated real-time multimodal traveler information. A travel preference survey is administered to car drivers to gather individual commuter’s travel decisions under integrated multimodal traveler information.

Result:
It is shown that integrated multimodal traveler information can influence willingness of car drivers to switch mode of travel, while socio-economic characteristics also influence the mode choice decision.

Item Type: Article
Additional Information: © 2017 Memon et al. open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Uncontrolled Keywords: Integrated traveler information, Multi-modal transportation, Mode switching propensity, Probit model, Preference survey.
Subjects: H Social Sciences > HE Transportation and Communications
Faculty / Department / Research Group: Faculty of Business
Faculty of Business > Connected Cities Research Group
Faculty of Business > Networks and Urban Systems Centre (NUSC) > Connected Cities Research Group
Faculty of Business > Department of Systems Management & Strategy
Last Modified: 12 Feb 2019 14:51
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/22719

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